Segmenteverygrain: A Python module for segmentation of grains in images
A Python module that combines SAM and U-Net neural networks to automatically segment and measure grains in diverse geological image types
A Python module that combines SAM and U-Net neural networks to automatically segment and measure grains in diverse geological image types
Deep-water channel bend cutoffs create complex reservoir architectures that significantly impact flow behavior and sweep efficiency during hydrocarbon production
Three-dimensional analysis of a Cretaceous river avulsion node reveals the anatomy of channel evolution and provides insights into ancient fluvial processes on Earth and Mars
This introductory chapter reviews the history of research on meandering streams and presents a compilation of data on meander morphology.
Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends …
There has been debate over the processes acting on deep-water channels, with comparisons made to the evolution of meandering fluvial systems. We characterized a three-dimensional seismic-reflection da…